At a Glance
- Tasks: Research AI techniques to enhance group decision-making and problem-solving.
- Company: University of Strathclyde, known for research excellence and industry links.
- Benefits: Access to advanced research training, mentorship, and publication opportunities.
- Other info: Supportive environment with professional development for future careers.
- Why this job: Join a cutting-edge project that merges AI with collaborative modelling.
- Qualifications: First-class degree in relevant fields; master's preferred.
The predicted salary is between 19350 - 23650 £ per year.
The University of Strathclyde is offering a PhD studentship in AI-Augmented Group Model Building within the Department of Management Science at Strathclyde Business School. This research opportunity focuses on advancing the integration of artificial intelligence techniques with group model building approaches, with the aim of enhancing collaborative decision-making and complex problem-solving processes.
The project will explore how AI can support and augment participatory modelling methods, particularly in contexts where stakeholders engage in system dynamics modelling to address complex organisational or societal challenges. The successful candidate will investigate the design, development, and application of AI tools to facilitate group model building, improving efficiency, inclusivity, and analytical depth.
The research will involve interdisciplinary approaches, combining management science, artificial intelligence, systems thinking, and decision sciences. The candidate will work closely with experienced academic supervisors and may engage with external partners where relevant. The programme provides access to advanced research training, academic mentorship, and opportunities to contribute to high-impact publications and conferences.
Strathclyde Business School is internationally recognised for its research excellence and strong links with industry and public sector organisations. The University offers a supportive and collaborative research environment, along with professional development opportunities to prepare graduates for careers in academia, industry, and policy.
Eligibility Criteria
- A first-class or upper second-class honours degree (or international equivalent) in a relevant discipline such as management science, computer science, artificial intelligence, operations research, or a related field
- A master’s degree in a relevant subject is desirable
- Applicants must meet the University of Strathclyde’s English language requirements where applicable
- Demonstrated interest in interdisciplinary research combining AI and decision sciences
Required Expertise/Skills
- Strong analytical and problem-solving skills
- Ability to undertake independent and collaborative research
- Programming or computational modelling experience is advantageous
- Effective written and verbal communication skills
- Ability to engage with interdisciplinary research environments
Salary Details
Not specified (funding or studentship support may be available depending on eligibility and funding arrangements)
PhD Studentship in AI-Augmented Group Model Building in Glasgow employer: RFCSR
The University of Strathclyde is an exceptional employer, offering a vibrant and supportive research environment that fosters collaboration and innovation. With access to advanced training and mentorship from experienced academics, PhD candidates can expect to grow their skills and contribute to impactful research in AI and decision sciences. Located in Glasgow, the university's strong industry connections and commitment to professional development make it an ideal place for aspiring researchers seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land PhD Studentship in AI-Augmented Group Model Building in Glasgow
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
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✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace PhD Studentship in AI-Augmented Group Model Building in Glasgow
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at RFCSR will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at RFCSR
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress RFCSR.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show RFCSR that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
